Federated Storage Parameter Update During Cutover
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Solution Overview
Problem
Current data storage systems face challenges in seamlessly migrating data and updating parameters across different physical data storage systems within a federated storage environment without disrupting applications, particularly in managing load balancing policies and other optimization parameters.
Innovation Solution
A method that involves cutover processing to migrate data from an origin data storage system to a destination system, detecting the cutover state, and updating parameters such as load balancing policies and timing thresholds based on the type of physical data storage system, ensuring seamless service continuity and optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data migration is performed from origin data storage system to destination data storage system, then data can be moved between different physical storage systems, but parameters such as load balancing policies and timing thresholds may not be updated correctly causing service disruption
Solution Approach 1:
The patent applies preliminary action by detecting the cutover state before completing the data migration. The system proactively identifies when the migration process is about to switch from origin to destination storage system, and automatically updates parameters (load balancing policies, timing thresholds) in advance. This prevents service disruption by ensuring parameters are ready before the actual cutover occurs, resolving the contradiction between migration capability and service continuity.
2Ease of manufacture
If parameters are updated manually during data migration, then parameter values can be adjusted for different storage systems, but application service may be interrupted during the update process
Solution Approach 1:
The patent implements self-service by enabling the system to automatically detect cutover states and update parameters without manual intervention. The automated detection mechanism monitors migration progress and triggers parameter updates autonomously, eliminating the need for manual parameter configuration during migration. This resolves the contradiction by providing ease of parameter configuration while preventing service interruption that would occur with manual updates.
Solution Approach 2:
The system uses feedback by continuously monitoring the migration state and using this information to trigger parameter updates at the appropriate moment. The detection mechanism provides real-time feedback on whether the origin or destination storage system is active, allowing the system to automatically adjust parameters based on current operational state. This automated feedback loop eliminates service interruption while maintaining proper parameter configuration.
3Productivity
If different parameter values are used for different physical data storage systems, then each system can operate optimally, but managing parameter updates across federated storage environment becomes complex
Solution Approach 1:
The patent applies universality by creating a unified parameter management mechanism that works across different physical storage systems in a federated environment. The automated detection and update system provides a universal solution that handles parameter management for origin and destination systems consistently, regardless of their specific types or configurations. This resolves the contradiction by maintaining optimal performance for each system while simplifying parameter management across the entire federated storage environment.
Data Source
AI summary
Described are techniques for parameter selection. First processing is performed that migrates data of a first device from an origin to a destination data storage system. The first processing includes cutover processing. After cutover processing is performed, requests to the first device are serviced by the destination data storage system rather than the origin data storage system. During first processing, occurrence of cutover processing is detected. Responsive to detecting the occurrence of cutover processing, second processing is performed to update one or more parameters each having a value that varies in accordance with a type of physical data storage system. Prior to second processing, the parameters have values determined in accordance with a type of physical data storage system of the origin data storage system, and after second processing, the parameters have values determined in accordance with a type of physical data storage system of the destination data storage system.